ICRA'09 Paper Abstract

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Paper FrD4.2

Yuan, Fang (University Bielefeld), Swadzba, Agnes (Bielefeld University), Philippsen, Roland (Stanford University), Engin, Orhan (Bielefeld University), Hanheide, Marc (Faculty of Technolgy, Bielefeld University), Wachsmuth, Sven (Bielefeld University)

Laser-Based Navigation Enhanced with 3D Time-of-Flight Data

Scheduled for presentation during the Regular Sessions "Motion and Path Planning - IV" (FrD4), Friday, May 15, 2009, 15:50−16:10, Room: 402

2009 IEEE International Conference on Robotics and Automation, May 12 - 17, 2009, Kobe, Japan

This information is tentative and subject to change. Compiled on January 21, 2022

Keywords Motion and Path Planning, Range Sensing, Robot Companions and Social Robots in Home Environments

Abstract

Navigation and obstacle avoidance in robotics using planar laser scans has matured over the last decades. They basically enable robots to penetrate highly dynamic and populated spaces, such as people’s home, and move around smoothly. However, in an unconstrained environment the two-dimensional perceptual space of a fixed mounted laser is not sufficient to ensure safe navigation. In this paper, we present an approach that pools a fast and reliable motion generation approach with modern 3D capturing techniques using a Time-of-Flight camera. Instead of attempting to implement full 3D motion control, which is computationally more expensive and simply not needed for the targeted scenario of a domestic robot, we introduce a “virtual laser”. For the originally solely laser-based motion generation the technique of fusing real laser measurements and 3D point clouds into a continuous data stream is 100% compatible and transparent. The paper covers the general concept, the necessary extrinsic calibration of two very different types of sensors, and exemplarily illustrates the benefit which is to avoid obstacles not being perceivable in the original laser scan.

 

 

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